Agronomic and Post-Harvest Performance of Strawberry Cultivars in High Tunnel and Open-Field Environment in Southeast Virginia
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Bibliographic record
Abstract
This study evaluated crop yield potential, season extension, and post-harvest parameters of strawberry cultivars grown in open-field and high tunnel, annual hill production systems. Tested cultivars included “Albion,” “Camino Real,” “Chandler,” “Merced,” “Rocco,” “Ruby June,” “San Andreas,” and “Sweet Ann.” Strawberry plugs were transplanted in the first week of October 2019. The harvest period in the high tunnel was January 2020 through June 2020, while the harvest period in the open-field was April 2020 through June 2020. Except for “Albion” (474 g/plant) having low yield, most cultivars had similar total yields in the high tunnel. “Chandler,” “Rocco” and “Sweet Ann” had the greatest total yields in the open-field (~870 to 780 g/plant). “Albion,” “Merced,” “Ruby June,” “San Andreas” and “Sweet Ann” had the greatest fruit weights in each environment. “Camino Real” and “Ruby June” had the firmest fruit in both environments. In addition, “Merced” produced firm fruits under a high tunnel environment. “Rocco,” and “Ruby June,” had the greatest total soluble solids (~8.7 °Brix) and titratable acidity (>1.85%) in the high tunnel. Total soluble solids for most cultivars were similar in open-field environments. Titratable acidity was greatest (>1.68%) for “Albion,” “Chandler,” “Rocco” and “Ruby June” in open-field production. Different cultivars offered slightly different market-desirable traits. Although the high tunnel system extended the season, achieving marketable yield in high tunnel is challenging due to various biotic and abiotic stresses. Principal component analysis indicated that a more moderate plant size may deliver a greater proportion of large, marketable berries.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it